Toronto Metropolitan University
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Investigating the Temporal Trends and Risks Imposed by Different Driver Groups on other Drivers

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posted on 2023-04-03, 19:07 authored by Thomas Thanuvelil Philip
Multi-vehicle traffic collisions usually result in increased injury severities to the more vulnerable drivers involved in those accidents. This research study aims at investigating the temporal trends and risks imposed by different driver groups on other drivers using logistic regression. The study is based on analysing accident data for all light-duty two-vehicle collisions in North Carolina from January 1, 2004 to December 31, 2013. Two logistic regression models are developed for each year. The first model, evaluates the probability that a certain driver sustains at least a visible injury caused by the other driver and the second model, evaluates the probability that a driver will cause at least a visible injury to the other driver. The findings of this research may help decision makers identify driver groups that are more dangerous to other drivers so that necessary precautionary measures can be adopted to make our roads a safer place.





  • Master of Engineering


  • Civil Engineering

Granting Institution

Ryerson University

LAC Thesis Type

  • MRP